Method for image processing for content detection with sparse zone salient features
a content detection and sparse zone technology, applied in image data processing, image enhancement, instruments, etc., can solve problems that are not applicable to methods, and achieve the effect of facilitating calculations
Active Publication Date: 2020-01-21
INTEL CORP
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- Application Information
AI Technical Summary
Benefits of technology
This approach significantly increases processing speed and accuracy for content detection, enabling real-time object detection on mobile devices and capturing temporal data effectively, while reducing the computational load and power consumption.
Problems solved by technology
It is not applicable to methods that are based on the direct analysis of pixel information in the spatial domain without transforming the image data into a frequency domain.
Method used
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Embodiment Construction
[0108]In the following, an embodiment of the method according to the present invention will be detailed with reference to the accompanying figures.
[0109]It is apparent that what is herein described with reference to a video stream, i.e. a succession of a series of image frames having a certain rate, also applies to any succession of single images, being equivalent to the frames of a video stream, and to one single image being equivalent to a single frame.
[0110]The goal of the method according to the present invention is enhancing and then isolating the frequency domain signals representing a content to be identified, and decreasing or ignoring the frequency domain noise with respect to the content within the images or the video stream.
[0111]In the first step, a search logic can be used on the full input image to generate an input frame for the calculations of this method. The search logic can for example be the whole image or a subset of the image. It should be clear that many types...
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A method for content detection based on images or a digital video stream of images, to enhance and isolate frequency domain signals representing content to be identified, and decrease or ignore frequency domain noise with respect to the content. A digital image or sequence of digital images defined in a spatial domain are obtained. One or more pairs of sparse zones are selected, each pair generating a feature, each zone defined by two sequences of spatial data. The selected features are transformed into frequency domain data. The transfer function, shape and direction of the frequency domain data are varied for each zone, thus generating a normalized complex vector for each feature. The normalized complex vectors are then combined to define a model of the content to be identified.
Description
CROSS REFERENCE TO RELATED APPLICATIONS[0001]The present application claims priority to European Patent Application No. 17156741.5 filed on Feb. 17, 2017, the contents of which are incorporated herein by reference in its entirety.BACKGROUND OF THE INVENTION1. Field of the Invention[0002]The present disclosure is related to a method for the detection of content, intended to be built in any kind of device, possibly a common device, provided with suitable means for digitalizing images. The method is particularly useful for creating temporal models to use in digital video streams, although not limited to digital video streams.[0003]Content is meant to be any object which could be interesting to detect. Then, the concept of content is not limited to objects, i.e. physical items visible through the images, but also objects family selected by argument or kind, e.g. images expressing violence, showing nudities, displaying sport activities, faces in a crowd, identifying vehicles and selectin...
Claims
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IPC IPC(8): G06K9/00G06K9/52G06F17/16G06K9/62G06F17/11
CPCG06K9/00201G06F17/11G06F17/16G06K9/6232G06K9/522G06T2207/20076G06V10/431G06F18/24G06V20/64
Inventor RIJNDERS, CHRISTIAAN ERIK
Owner INTEL CORP